MSIDA-Net: Point Cloud Semantic Segmentation via Multi-Spatial Information and Dual Adaptive Blocks

MSIDA-Net: Point Cloud Semantic Segmentation via Multi-Spatial Information and Dual Adaptive Blocks

Large-scale 3D point clouds are rich in geometric shape and scale information but they are also scattered, disordered and unevenly distributed. These characteristics lead to difficulties in learning point cloud semantic segmentations. Although many works have performed well in this task, most of the...

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Bibliographic Details
Main Authors: Feng Shuang, Pei Li, Yong Li, Zhenxin Zhang, Xu Li
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Remote Sensing
Subjects:
LiDAR
point cloud data
spatial information
deep learning
semantic segmentation
convolutional neural network
Online Access:https://www.mdpi.com/2072-4292/14/9/2187

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